Across modern data-intensive disciplines, the union of numerical computation, statistics, and machine learning has become ...

Kernel methods form a foundational framework in statistical learning theory, enabling algorithms to operate in implicitly defined high-dimensional feature spaces without ever computing feature vectors ...

Exponential kernels are widely recognized as an effective choice in kernel-based methods. In learning algorithms and artificial intelligence, choosing an appropriate bandwidth parameter for a kernel ...